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Adding Immutable Blockchain Proofs to SAP With CAP - Cardano and OData V4Adding Immutable Blockchain Proofs to SAP With CAP - Cardano and OData V4The write-up behind ODATANO, by its author: how a public blockchain gets reachable from CAP as an ordinary OData V4 service rather than through a bespoke client. The premise it starts from is worth the read on its own — SAP systems are trusted but mutable, which is what an immutable anchor is for — and Cardano is chosen for peer-reviewed research and formal methods rather than for popularity. Written as an experiment with feedback invited, not as a recommendation.maxalexweber, published 2026-05-15
Consume Remote Services in a Full-Stack CAP ApplicationConsume Remote Services in a Full-Stack CAP ApplicationExtending the Developer's Guide application with a remote S/4HANA service — connectivity, importing the Business Partner API, and running against it. SAP publishes this as four separate paths: mock server or real S/4HANA Cloud, times Cloud Foundry or Kyma. One entry covers all four, because the difference between them is which backend and which runtime, not what you learn.SAP
Extend SAP SuccessFactors on SAP BTP with the SAP Cloud Application Programming ModelExtend SAP SuccessFactors on SAP BTP with the SAP Cloud Application Programming ModelTwelve tutorials, about two hours, building a side-by-side extension of SuccessFactors on BTP. The spine is remote services: importing the SuccessFactors OData service definitions into a CAP model, then treating them as entities the extension reads and writes through, rather than as an API called from a handler. Indexed as one entry because the parts only make sense in order.SAP
Add MCP capabilities to a CAP serviceAdd MCP capabilities to a CAP serviceA fifteen-minute walkthrough of turning a plain CAP service into an MCP server: annotate the service with @mcp, install @cap-js/mcp, and it is served alongside OData at /mcp/<path>. The part worth reading it for is what happens next — cds watch writes the endpoint into the local agent's own configuration file, so OpenCode or Claude Code can call the service without anyone editing JSON by hand. It is built on the tiny-sample facet, so there is nothing to prepare, and it shows the protocol traffic rather than only the result. Written while the adapter was in beta, and it says so.published 2026-08-13
Agentic AI & AI AgentsAgentic AI & AI AgentsSAP's target picture for AI agents: Joule as the engagement layer — Joule Work, Joule Assistants, Joule Agents — with custom agents from customers, partners and SAP teams connecting through A2A for agent-to-agent collaboration and MCP for tool connectivity, on the SAP Business AI Platform. It says up front that parts are not generally available yet, in particular bidirectional communication with third-party agents through the Agent Gateway, so it reads as direction with the building blocks named rather than a design to copy today.published 2026-08-27
Agentic CAP: Build MCP servers and enterprise AI agentsAgentic CAP: Build MCP servers and enterprise AI agentsCAP applications become AI agents over the Model Context Protocol and the Agent2Agent protocol, which is the serve your application over MCP concern, and SAP AI Core is the LLM integration through which AI is embedded in a CAP app, with recommendations from the SAP-RPT-1 model as the abstract's example. The abstract names the two protocols and the one model and does not say which packages carry them. A two-hour TechEd 2026 session in a hands-on room (Tuesday 27 October, Berlin), presented by Daniel Hutzel, Daniel Schlachter, Marc Huber and Sami Lechner, written here from SAP's abstract; the recording is not yet published.
AI-native North Star architecture — Platform LayerAI-native North Star architecture — Platform LayerThe platform layer of SAP's North Star architecture, the chapter that says where agents run and what a developer builds them with. It names an AI Golden Path built on the SAP Cloud Application Programming Model, the ABAP Cloud development model with RAP and the SAP Fiori design system, and a managed agent runtime on SAP BTP that is designed to provide software development kits for building agents in any framework, an agent sandbox, container-hosted execution, a skills registry and continuous evaluations, which is the ground agent tooling covers. Agents are extended without changing their code through four patterns, the first of them tool extensibility through the Model Context Protocol, the concern MCP servers is named for; the process-layer chapter adds that a pro-code path with a standardised agent SDK and a prompt-driven path through the Joule Studio solution produce the same code artifact on the same runtime. It describes a design SAP intends rather than products that exist, and the SDK and the registry it names have no entry here yet.published 2026-05-13
AI-native North Star architecture — Platform Layer
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A reference.
CAP Node.js Expert Session #6 - The MCP AdapterCAP Node.js Expert Session #6 - The MCP AdapterDaniel Schlachter and DJ Adams add @cap-js/mcp to a bookshop service, inspect its describe, query and action tools, and query the catalogue through an AI agent. The session distinguishes this runtime adapter from the development-time MCP server and demonstrates automatic registration of the running service with a local agent. The recording describes the adapter as beta in July 2026, with read-only queries and writes through unbound actions.
Configure an MCP Server Created from an HTTP EndpointConfigure an MCP Server Created from an HTTP EndpointDocuments configuring API Management’s HTTP-source MCP server tools, resources, prompts and policies. Resources are selected from GET operations and have URI templates/content types; prompts define User/Assistant messages with optional arguments, alongside MCP policy configuration.
Create an MCP Server for Enterprise AI AgentsCreate an MCP Server for Enterprise AI AgentsWraps the preceding supply-risk graph from API Composition as an MCP server in Integration Suite, with API Management activated as a prerequisite. The walkthrough selects retrieval tools, deploys on Integration Cell, publishes a product in Developer Hub, creates an agent subscription and invokes the tools in MCP Inspector; its companion tutorial uses mock backends.Shyam, published 2026-09-23
Examine the details of the Model Context Protocol on startupExamine the details of the Model Context Protocol on startupWhat the MCP adapter actually does when a CAP server boots, watched rather than described — the companion to the tutorial that switches it on.
HANA AI Toolkit — Local MCP ServerHANA AI Toolkit — Local MCP ServerAn MCP server that turns the hana-ml Python library into governed tools an agent can call against a HANA Cloud instance, shipped in the hana-ai toolkit and exposed over stdio, SSE and streamable HTTP. Its one firm rule is attributable execution: an audit module writes the MCP-side identity — agent, model, session, tool, redacted arguments — into the HANA connection before any SQL runs, and fails the call if that write fails. A worked example of governance on an MCP tool surface, from SAP's data side rather than CAP's.published 2026-06-15
MCP Server — SAP Integration SuiteMCP Server — SAP Integration SuiteSAP's own page for the MCP Server artifact in SAP Integration Suite, and where the gateway that runs it is described: MCP clients and API clients reach the same backends through two gateways that share security, traffic management and multi-protocol connectivity. Sets out the three primitives a server may expose — tools derived from API operations with an input and output schema, resources addressed by URI for context rather than action, and prompts as reusable interaction patterns. Says availability depends on the Integration Suite service plan, and points at the three creation paths as separate pages.
MCP Server for SAP Incentive ManagementMCP Server for SAP Incentive ManagementA proof of concept putting SAP Incentive Management behind MCP so an agent can reach it, spanning the server, the backing APIs and SAP Advanced Workflow. The post opens with an unusually explicit disclaimer — personal capacity, no organisation's architecture or policies represented, and any real implementation needing customer and SAP review first — which is itself the useful part of reading it: it is a shape to think with, not a design to deploy.published 2026-07-16
Model Context Protocol (MCP)Model Context Protocol (MCP)Frames the Model Context Protocol as the answer to an M-times-N integration problem: one shared protocol turns M agents and N tools into M plus N connections, and one server can be called by any compliant agent. On SAP BTP its implementation section lists an SAP MCP Hub as a no-code way to expose enterprise tools, SAP Integration Suite's MCP Gateway as what it calls the governed path for exposing SAP and non-SAP APIs as MCP-compliant tools, custom SDK-based servers, SAP's MCP servers for development, and an MCP adapter for CDS as a CAP plugin marked coming soon. That is the ground MCP servers covers; for security it points at a separate page.
Model Context Protocol Adapter — CAP guideModel Context Protocol Adapter — CAP guideDocuments @cap-js/mcp and com.sap.cds:cds-adapter-mcp, service annotations, generated describe/query/call tools and local client setup. The guide records Java doc-comment configuration, unbound-action-based data changes, incomplete XSUAA PKCE support and the adapter’s governance boundaries.
Natural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesNatural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesThe division of labour is the argument, and it is in the subtitle: the model turns English into a CDS query and CDS runs it, so nothing generates SQL and nothing hallucinates a join. Schema annotations do the resolving. Long, with the package, the repository and the MCP registry entry all linked.Shahid, published 2026-06-25
The Easiest Way to Expose a CAP Node.js Project as an MCP ServerThe Easiest Way to Expose a CAP Node.js Project as an MCP ServerFrom cds init to a running MCP server in a handful of steps, ending at the MCP Inspector so the result is something you can see rather than something you have to trust. The claim it makes for the plugin is the absence of work: no REST wiring by hand, the CAP application exposed as a server because the package is installed. A walkthrough rather than an argument — the reasoning about what should be exposed lives elsewhere.Jacky Liu, published 2026-07-03
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther
UI5 Has Entered the Chat: Building Interactive MCP Apps for SAPUI5 Has Entered the Chat: Building Interactive MCP Apps for SAPMCP Apps let an MCP tool point at a ui:// resource that a compatible host renders in a sandboxed iframe, and the post walks through the five samples of UI5con_2026_MCPApps, built with Mike Zaschka for UI5con, from a plain HTML time tool through UI5 Web Components and UI Integration Cards to UI5 lint findings from @ui5/mcp-server and an ARC-1 transport review. In the samples the model selects the tool and does not generate the interface, the prebuilt kind of generative UI, and the subject is the server side of MCP servers: register the resource, link it from the tool's _meta.ui.resourceUri, return text content as a fallback beside structuredContent, call callServerTool() only for tools of the server that owns the app, and send a message to the host when another server such as ARC-1 has to act. It stops at the host, whose support differs by client and whose iframe sandbox is not a complete security model, and Joule support for MCP Apps could not be verified at the time of writing.published 2026-07-13
Real-Time Architecture in SAP CAP: Mastering Asynchronous Jobs, Gateways with WebSocketsReal-Time Architecture in SAP CAP: Mastering Asynchronous Jobs, Gateways with WebSocketsThe other half of the author's own industrial-data post: mass ingestion is only useful if the screen keeps up, so background jobs push progress to the UI over WebSockets instead of the user reloading. Written from a mission-critical case rather than a demo.rgadirov, published 2026-03-12
Real-Time Architecture in SAP CAP: Mastering Asynchronous Jobs, Gateways with WebSockets
Async processing changed in @sap/cds 10.0, 2026-07-02. Affects A recipe.
Streaming LLM Output with CAP and WebSocketsStreaming LLM Output with CAP and WebSocketsTokens arriving from the AI SDK's orchestration module, forwarded to the browser as they come rather than after the model finishes. Covers all four pieces — enabling WebSocket support in CAP, a service with actions and events, the streaming itself, and a frontend on the native WebSocket API — which is what makes it the clearest case for why a CAP service would want a socket at all.RobinP, published 2025-11-18
Streaming LLM Output with CAP and WebSockets
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A recipe, Runnable code.
Accelerate agentic planning with trusted data productsAccelerate agentic planning with trusted data productsGoverned data products as the ground for AI planning in SAP Analytics Cloud: using a ready data product or building one in SAP Business Data Cloud, the cataloguing and lineage concern, then agentic AI automating planning tasks and producing insights on top. The abstract names the two products and the data product step and does not say which planning tasks the agents take over. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Jie Deng, Maximilian Paul Gander and Richard Mooney, written here from SAP's abstract; the recording is not yet published.
Explore your Hyperscaler data with SAP Business Data CloudExplore your Hyperscaler data with SAP Business Data CloudSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data Cloud, with a sub-page each for AWS, Azure, Google Cloud, Databricks and Snowflake. It sets four modes side by side: BDC Connect shares data products in both directions over the Delta Sharing protocol from the object store layer, while in the SAP Datasphere layer federation reads remote tables in place, Replication Flows copy SAP data out to stores such as Amazon S3 or Google BigQuery, and Data Flows import files and transform them into Datasphere tables, the last three being the ground loading a warehouse covers. The Snowflake and BigQuery connectors are dated to 2026 releases, and a closing page lists what slows federation, from source and tenant in different regions to queries that do not filter and aggregate at the source.published 2026-05-08
Transform business data into AI-supported insightsTransform business data into AI-supported insightsBusiness metrics turned into insights, narratives and recommendations by SAP Joule's agents, with People Intelligence, the SAP Snowflake solution extension for SAP Business Data Cloud and SAP Analytics Cloud connected in SAP Business Data Cloud. The abstract names what is connected and what comes out, and does not say what the exercise builds or where the Snowflake extension sits in it; People Intelligence and the extension are not atlas entries. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Babacar Toure, Maximilian Paul Gander, Neetha Pucknat and San Tran, written here from SAP's abstract; the recording is not yet published.
Major updates to the Attachments plugin – multi-cloud support, malware scanning and moreMajor updates to the Attachments plugin – multi-cloud support, malware scanning and moreMulti-cloud storage and malware scanning added to the official plugin, framed through CAP's Calesi pattern — the argument being that a service interface is what lets the storage underneath change without the application noticing. The post that a triage bug hid: "attachment" had stopped matching "Attachments".published 2025-12-02
Major updates to the Attachments plugin – multi-cloud support, malware scanning and more
@cap-js/attachments 3.4.0, now 4.0.0, com.sap.cds:cds-feature-attachments 1.2.2. Affects A recipe, Runnable code.
Media Handling in SAP CAPM – Backend and Frontend ImplementationMedia Handling in SAP CAPM – Backend and Frontend ImplementationFiles against a record with the front end included, which most of the attachments writing here leaves out — the entity that stores the content, the custom logic around it, and then the UI5 side that uploads and retrieves. End to end rather than one half.published 2026-03-02
Accelerate agentic planning with trusted data productsAccelerate agentic planning with trusted data productsGoverned data products as the ground for AI planning in SAP Analytics Cloud: using a ready data product or building one in SAP Business Data Cloud, the cataloguing and lineage concern, then agentic AI automating planning tasks and producing insights on top. The abstract names the two products and the data product step and does not say which planning tasks the agents take over. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Jie Deng, Maximilian Paul Gander and Richard Mooney, written here from SAP's abstract; the recording is not yet published.
Building custom Joule Agents with SAP Knowledge GraphBuilding custom Joule Agents with SAP Knowledge GraphCustom Joule Agents built in a hands-on with SAP Knowledge Graph and Joule Studio: discovering APIs from a user's intent, grounding an agent's answers in business context, and integrating data products for SAP Business Data Cloud. The agents are SAP Joule's; the Knowledge Graph is not an atlas entry, and the abstract does not say which Joule Studio edition the exercises use. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Jan Portisch, Lucas Kiesow, Pavithra G K and Rafael Martin, written here from SAP's abstract; no recording is announced.
Explore your Hyperscaler data with SAP Business Data CloudExplore your Hyperscaler data with SAP Business Data CloudSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data Cloud, with a sub-page each for AWS, Azure, Google Cloud, Databricks and Snowflake. It sets four modes side by side: BDC Connect shares data products in both directions over the Delta Sharing protocol from the object store layer, while in the SAP Datasphere layer federation reads remote tables in place, Replication Flows copy SAP data out to stores such as Amazon S3 or Google BigQuery, and Data Flows import files and transform them into Datasphere tables, the last three being the ground loading a warehouse covers. The Snowflake and BigQuery connectors are dated to 2026 releases, and a closing page lists what slows federation, from source and tenant in different regions to queries that do not filter and aggregate at the source.published 2026-05-08
Transform business data into AI-supported insightsTransform business data into AI-supported insightsBusiness metrics turned into insights, narratives and recommendations by SAP Joule's agents, with People Intelligence, the SAP Snowflake solution extension for SAP Business Data Cloud and SAP Analytics Cloud connected in SAP Business Data Cloud. The abstract names what is connected and what comes out, and does not say what the exercise builds or where the Snowflake extension sits in it; People Intelligence and the extension are not atlas entries. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Babacar Toure, Maximilian Paul Gander, Neetha Pucknat and San Tran, written here from SAP's abstract; the recording is not yet published.
Transforming Enterprise Data Strategy with SAP Business Data CloudTransforming Enterprise Data Strategy with SAP Business Data CloudSAP's layered picture of SAP Business Data Cloud, from lake storage and compute up to a knowledge core and agents, with eight sub-pages that each work one part through. The data products page is the cataloguing and lineage part: datasets described by Open Resource Discovery metadata, listed in the BDC catalog and shared over Delta Sharing to SAP Databricks and SAP HANA Cloud, with SAP Datasphere as a consumer on the intelligent content page; other pages install intelligent content, bring SAP BW data in through the Data Product Generator, provision groups by SCIM from Cloud Identity Services into SAP Databricks, which is identity provisioning, and train predictive models in SAP Databricks that SAP AI Core then serves for batch and real-time scoring. The main page states direction more than mechanism, and the BW page marks SQL Share for derived and OData for analytical data products as to be available.published 2026-05-12
Federating, Replicating, and Caching Remote Data in CAP — Part 2Federating, Replicating, and Caching Remote Data in CAP — Part 2The practical half of the pair. Where Part 1 sets out the terminology, what CAP does out of the box and where the gaps are, this one builds a small application that federates, replicates and caches remote data, one step at a time, with the finished project published as sales-cockpit so a reader can either follow along or start from the end. It began as a twenty-minute reCAP talk, which the author says was only room for the intro.published 2026-07-17
Deep Insert in SAP CAPM Using Composition and Fiori ElementsDeep Insert in SAP CAPM Using Composition and Fiori ElementsParent and children created in one transaction, which composition already gives you in the model — the post is about what Fiori elements does with it, and what the payload looks like when the UI sends both at once.published 2026-05-22
Explore the declarative power of status-transition flowsExplore the declarative power of status-transition flowsModelling which state a record may move to next, declaratively, rather than scattering the rule across the handlers that move it.SAP
Learn how to define constraints declaratively in your CDS modelLearn how to define constraints declaratively in your CDS modelConstraints expressed in the model rather than checked in a handler — the distinction the atlas draws between input validation the framework enforces and validation somebody writes.SAP
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Connect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud ConnectorConnect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud ConnectorAn end-to-end route from a CAP Node.js application on Cloud Foundry to a PostgreSQL database that is never made publicly reachable, over BTP Connectivity and the Cloud Connector using a TCP destination and SOCKS5. The part worth having is that it covers the deployer as well as the server: the generated PostgreSQL deployer has to reach the same private database to deploy the CDS model, and a guide that only connects the runtime leaves you with a schema you cannot install.Kalaikovan, published 2026-08-07
Connect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud Connector
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Create a CAP Application with SAP HANA Cloud from Scratch and Deploy to Cloud FoundryCreate a CAP Application with SAP HANA Cloud from Scratch and Deploy to Cloud FoundryThe whole lifecycle in one post rather than a series — model, service, HANA binding, build, deploy. Useful as a single reference for the order things have to happen in, which is the part that is easy to get wrong when it is spread over six posts.MaheshSirsat1708, published 2025-11-19
Create a CAP Application with SAP HANA Cloud from Scratch and Deploy to Cloud Foundry
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]The first of six, and it does the thing the later parts depend on: build the Incident Management application against SQLite on a laptop, with no cloud database in sight. The series is called decoupled because the front end and the back end are deployed separately, and this part is entirely the back end.sanjucs, published 2026-05-06
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-4]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-4]The switch from SQLite to HANA and the first deploy of the back end to Cloud Foundry — the point in the series where the persistence stops being a file and the build starts producing HDI artifacts.sanjucs, published 2026-05-12
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-4]
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Get hands on with tabular AI and forecasting models in SAP HANA CloudGet hands on with tabular AI and forecasting models in SAP HANA CloudPrediction and forecasting as predictive models inside SAP HANA Cloud, worked through hands-on: tabular AI models such as SAP-RPT-1 for on-the-fly predictions, time series foundation models for ad hoc forecasts, and the AutoML in the predictive analysis library. The abstract names the model kinds and the library and does not say how a model is called from SQL or from an application. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Markus Fath, Ritty Joseph and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Part 1: Creating and Deploying a SAP CAP Application with SAP HANA on SAP BTP (Cloud Foundry)Part 1: Creating and Deploying a SAP CAP Application with SAP HANA on SAP BTP (Cloud Foundry)Opens with the observation the whole series rests on — CAP is usually demonstrated locally, and the interesting part starts when it is deployed. Part one of the run that continues into PostgreSQL and Work Zone.yashbhosle789, published 2026-02-25
Part 1: Creating and Deploying a SAP CAP Application with SAP HANA on SAP BTP (Cloud Foundry)
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Part 2: Creating and Deploying a CAP Application with PostgreSQL, Hyperscaler OptionPart 2: Creating and Deploying a CAP Application with PostgreSQL, Hyperscaler OptionThe middle of a series that runs from database to Work Zone: the CAP application from part one pointed at PostgreSQL on the hyperscaler option, and deployed. The service binding and the build are where it spends its time.yashbhosle789, published 2026-03-04
Part 2: Creating and Deploying a CAP Application with PostgreSQL, Hyperscaler Option
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
SAP CAP on HANA XSA: Scaling Industrial Data Applications Beyond the CloudSAP CAP on HANA XSA: Scaling Industrial Data Applications Beyond the CloudCAP on HANA 2.0 XSA rather than on BTP — on-premise, and chosen for throughput. Mass ingestion through native stored procedures, which is the point at which CDS stops being the right tool and the post says so.rgadirov, published 2026-03-09
SAP CAP on HANA XSA: Scaling Industrial Data Applications Beyond the Cloud
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects Runnable code.
Setting Up PostgreSQL for SAP BTP Development: A Practical GuideSetting Up PostgreSQL for SAP BTP Development: A Practical GuideOpens with the premise the rest of this bucket mostly assumes away — not every BTP application needs HANA Cloud — and then sets up PostgreSQL on the hyperscaler option. Part one of a series that continues into XSUAA.michal_majer, published 2026-01-20
Use SAP HANA as the Database for a CAP Java ApplicationUse SAP HANA as the Database for a CAP Java ApplicationMoving a CAP Java application off the development database onto HANA, which is the step where the persistence choice stops being invisible.SAP
Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Explore your Hyperscaler data with SAP Business Data CloudExplore your Hyperscaler data with SAP Business Data CloudSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data Cloud, with a sub-page each for AWS, Azure, Google Cloud, Databricks and Snowflake. It sets four modes side by side: BDC Connect shares data products in both directions over the Delta Sharing protocol from the object store layer, while in the SAP Datasphere layer federation reads remote tables in place, Replication Flows copy SAP data out to stores such as Amazon S3 or Google BigQuery, and Data Flows import files and transform them into Datasphere tables, the last three being the ground loading a warehouse covers. The Snowflake and BigQuery connectors are dated to 2026 releases, and a closing page lists what slows federation, from source and tenant in different regions to queries that do not filter and aggregate at the source.published 2026-05-08
Semantic search in CAP (Node.js): vector embeddings and cosine similaritySemantic search in CAP (Node.js): vector embeddings and cosine similarityFinding the best semantic match for a prompt inside an entity, using local vector embeddings and cosine similarity — and the finding the author leads with is that it works without a vector database at all. Reported as experiments rather than as a pattern, which is the honest register for it: the interesting claim is how little infrastructure the simple case needs.published 2025-12-09
From SEGW and Legacy UI5 to RAP with ARC-1From SEGW and Legacy UI5 to RAP with ARC-1Three ARC-1 skills, run in Cursor with Composer-2 against a deliberately rough demo on an S/4HANA 2023 trial system, turn the SEGW service ZDEMO_MIG_PROJECTS_SRV into a managed, draft-enabled RAP business object published as OData V4, replace its ApproveProject function import and its direct UPDATE ... COMMIT WORK with the action approve_project written in EML in local mode, and rebuild the freestyle UI5 JavaScript app once in UI5 TypeScript and once as a Fiori elements list report and object page driven by metadata extensions. What the published transcripts add is how the agent got there: it found the generated MPC class names and the custom logic in DPC_EXT only by reading the system, the skills made it print the extracted model and stop for confirmation before writing, and @ui5/mcp-server, mcp-sap-docs and @sap-ux/fiori-mcp-server each had their own job beside it. The demo is small on purpose, and the post says a productive SEGW service that calls BAPIs, carries custom authorisation logic or supports deep inserts is not solved with one prompt.published 2026-05-11
From SEGW and Legacy UI5 to RAP with ARC-1
@sap-ux/fiori-mcp-server has been through 2 major lines since this was published: 0.7 (2026-05), 1 (2026-05). Affects Runnable code.
Real-Time Architecture in SAP CAP: Mastering Asynchronous Jobs, Gateways with WebSocketsReal-Time Architecture in SAP CAP: Mastering Asynchronous Jobs, Gateways with WebSocketsThe other half of the author's own industrial-data post: mass ingestion is only useful if the screen keeps up, so background jobs push progress to the UI over WebSockets instead of the user reloading. Written from a mission-critical case rather than a demo.rgadirov, published 2026-03-12
Real-Time Architecture in SAP CAP: Mastering Asynchronous Jobs, Gateways with WebSockets
Async processing changed in @sap/cds 10.0, 2026-07-02. Affects A recipe.
Connect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud ConnectorConnect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud ConnectorAn end-to-end route from a CAP Node.js application on Cloud Foundry to a PostgreSQL database that is never made publicly reachable, over BTP Connectivity and the Cloud Connector using a TCP destination and SOCKS5. The part worth having is that it covers the deployer as well as the server: the generated PostgreSQL deployer has to reach the same private database to deploy the CDS model, and a guide that only connects the runtime leaves you with a schema you cannot install.Kalaikovan, published 2026-08-07
Connect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud Connector
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Consume Remote Services in a Full-Stack CAP ApplicationConsume Remote Services in a Full-Stack CAP ApplicationExtending the Developer's Guide application with a remote S/4HANA service — connectivity, importing the Business Partner API, and running against it. SAP publishes this as four separate paths: mock server or real S/4HANA Cloud, times Cloud Foundry or Kyma. One entry covers all four, because the difference between them is which backend and which runtime, not what you learn.SAP
Consume SOAP Web Services in SAP Cloud Application Programming ModelConsume SOAP Web Services in SAP Cloud Application Programming ModelCalling a SOAP service from CAP — the case the remote-service story does not cover, since CAP's own import path speaks OData and OpenAPI.SAP
Extend SAP SuccessFactors on SAP BTP with the SAP Cloud Application Programming ModelExtend SAP SuccessFactors on SAP BTP with the SAP Cloud Application Programming ModelTwelve tutorials, about two hours, building a side-by-side extension of SuccessFactors on BTP. The spine is remote services: importing the SuccessFactors OData service definitions into a CAP model, then treating them as entities the extension reads and writes through, rather than as an API called from a handler. Indexed as one entry because the parts only make sense in order.SAP
Implementing Dynamic Subaccount-Based Routing in SAP CAP with SAP BTP DestinationsImplementing Dynamic Subaccount-Based Routing in SAP CAP with SAP BTP DestinationsWhy environment variables are the wrong place for backend endpoints in a CAP application, and what replaces them: cockpit destinations resolved at runtime, with the subaccount or instance identified as the request is handled. The argument is about redeployment — an endpoint kept in the environment means a deploy every time it moves — and the shape it produces is one codebase serving several landscapes without a build per landscape.Dnyaneshwar Salve, published 2026-03-18
Use the SAP Cloud SDK in the SAP Cloud Application Programming ModelUse the SAP Cloud SDK in the SAP Cloud Application Programming ModelReaching for the Cloud SDK from inside a CAP service, for the calls CAP's own remote services do not make.SAP
Complete Guide: Setting Up CAP Plugin for Advanced Event Mesh with OAuth AuthenticationComplete Guide: Setting Up CAP Plugin for Advanced Event Mesh with OAuth AuthenticationWritten because the plugin's own documentation stops short of the prerequisites and the author had to assemble them from three other sources and a help chapter. It joins them: the OIDC application in Identity Authentication, the OAuth profile in Broker Manager, the token checked before anything is wired, and only then the plugin. The author says plainly it came out of trial and error and was going to be a README.rpagni, published 2025-11-10
How to use a CAP application to manage DMQ messages on SAP Advanced Event MeshHow to use a CAP application to manage DMQ messages on SAP Advanced Event MeshA CAP application built for the failure path rather than the happy one. Messages that land in a Dead Message Queue are deleted for good when their TTL expires, so this pulls them out first and holds them in quarantine, where a Fiori elements UI lets someone inspect a payload, correct it and reinject it. An operations tool, and a rare write-up of what to do after delivery has already failed.stefan-keuker, published 2025-12-31
How to use a CAP application to manage DMQ messages on SAP Advanced Event Mesh
Event Mesh changed in @sap/cds 10.0.3, 2026-07-02. Affects Runnable code.
Implementing Event-Driven Architecture in CAP Java using SAP Event MeshImplementing Event-Driven Architecture in CAP Java using SAP Event MeshPublish and consume from the Java stack, which most of the Event Mesh writing on the community does not cover. The MTA declaration and the credentials come first, then the emit and the handler, then the two sections that make it worth keeping: error handling with retries, and securing the events with OAuth.Soumya-Pirlamarla, published 2025-11-26
Implementing Event-Driven Architecture in CAP Java using SAP Event Mesh
Event Mesh changed in @sap/cds 10.0.3, 2026-07-02. Affects A recipe.
Publish events from CAP Node.js applications to Event Mesh of Integration SuitePublish events from CAP Node.js applications to Event Mesh of Integration SuiteThe smallest complete example: cds init, a service with one function, cds.connect.to('messaging') and an emit to a topic. Deliberately scoped — the Event Mesh setup is skipped and the subaccount is assumed to be the same one — so what remains is the handful of lines on the CAP side and the binding that makes them reach the broker.KevinWang_ST_Consultancy, published 2026-02-13
Publish events from CAP Node.js applications to Event Mesh of Integration Suite
Event Mesh changed in @sap/cds 10.0.3, 2026-07-02. Affects A recipe.
Build an integration scenario from scratch with AI assistance at every stepBuild an integration scenario from scratch with AI assistance at every stepBuilds an integration scenario in SAP Integration Suite from nothing and takes it through design, deployment, optimisation, monitoring and resolution with AI assistance at each step, which is the Integration flows concern worked end to end. The abstract names the phases and the kinds of help, development, analysis, troubleshooting and continuous improvement, and no feature or tool that gives them. A TechEd 2026 hands-on session (Tuesday 27 October, Berlin), presented by Craig Stasila, Finny Babu, Prashant Gautam and Shilpa Vij, written here from SAP's abstract; the recording is not yet published.
Introducing open-rfc: Calling SAP RFC from Node.js Without the SDKIntroducing open-rfc: Calling SAP RFC from Node.js Without the SDKopen-rfc is a TypeScript and JavaScript RFC client for Node.js with no runtime dependencies and no SAP NetWeaver RFC SDK, written after SAP archived node-rfc and PyRFC and while the connector below @sap/cds-rfc needs an S-user, an SAP Build Code licence and a private registry. The history of RFC connectivity from Node.js is the first half; the second shows the package on its own, as an npm alias for node-rfc, and through an npm override as the connector below an unchanged @sap/cds-rfc. The 0.2.3 beta stops at direct application-server connections with password authentication and classic Unicode RFC: no message-server load balancing, SNC, tRFC, qRFC, bgRFC or server mode.published 2026-08-10
ABAP Development Automation with ARC-1 and GitHub WorkflowsABAP Development Automation with ARC-1 and GitHub WorkflowsA sample repository puts an ABAP package into GitHub with abapGit and connects GitHub Actions to ARC-1 on BTP through an API key with no write tools, so abaplint on the diff, ABAP Unit and ATC through SAPDiagnose, label-triggered Copilot and Claude reviews, and ST22 dump triage all run as checks on a pull request. The review case is PR #14, where a SAPRead of the activated method let Claude state that a direct SELECT from MARA was new in the PR and not yet active in SAP, which a diff-only review cannot know. The test gate reads activated objects, so a team that pushes before activation needs a sandbox or a pull-and-activate step, and pulling a merged change back into SAP is named as the next step, not built.published 2026-05-12
Agentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsAn agent harness coordinates code generation across isolated Git worktrees, using a skills registry, SAP CAP MCP Server, Fiori MCP Server and UI5 Web Components MCP Server for development context. The diagram shows LiteLLM as a model proxy in front of SAP AI Core, while automated checks and review gate the generated changes. The worked scenario is CAP-based extensions on BTP, with specifications written before generation and reusable skills governed across teams.
ARC-1 on SAP BTP: Secure ABAP Agentic Development Beyond the LaptopARC-1 on SAP BTP: Secure ABAP Agentic Development Beyond the LaptopThe BTP deployment of ARC-1: one Cloud Foundry app per SAP system, reached by MCP clients through XSUAA and reaching the backend through the SAP Destination service, the SAP Connectivity service and Cloud Connector, with a BasicAuth destination for startup probing and a Principal Propagation destination for per-user requests, and SAP_PP_STRICT=true so a propagation problem fails instead of falling back to the shared user. Tool governance is the three gates it spells out, the server ceiling set by environment variables, the user's permission from XSUAA role collections, OIDC scopes or API-key profiles, and the SAP backend authorisation, all of which must allow an action, and the staged rollout from read-only to writes in $TMP, then selected packages, then transport writes. It recommends the MTA deployment over Docker on Cloud Foundry or a buildpack push, treats BTP ABAP Environment as a separate service-key scenario with no Cloud Connector, and is not a full setup guide: the commands are left to the ARC-1 deployment docs.published 2026-04-29
ARC-1 on SAP BTP: Secure ABAP Agentic Development Beyond the Laptop
arc-1 has been through 3 major lines since this was published: 0.8 (2026-05), 0.9 (2026-05), 1 (2026-07). Affects A recipe.
ARC-1 with Copilot Studio: SAP System Context Beyond DevelopersARC-1 with Copilot Studio: SAP System Context Beyond DevelopersTakes the BTP-deployed ARC-1 endpoint into Microsoft Copilot Studio, added as an existing MCP server with OAuth 2.0 against XSUAA and published to Teams or Microsoft 365 Copilot, so SAP system context reaches project roles that do not work in an IDE. The test agent combines SharePoint specifications, Jira tickets and mcp-sap-docs with ARC-1 in six scenarios: a patch for a Jira bug proposed before it is applied, the impact of widening a domain from CURR 13,2 to CURR 23,2, a two-layer CDS view built from a specification, an ATC and abaplint quality report, a short dump diagnosis, and a clean core check that proposes released successors for direct selects on USR02 and BUT000. The access path and security model are those of the BTP part unchanged; the advice is to start this audience read-only, although the showcase itself enabled the read and write tools.published 2026-05-04
ARC-1 with Copilot Studio: SAP System Context Beyond Developers
arc-1 has been through 3 major lines since this was published: 0.8 (2026-05), 0.9 (2026-05), 1 (2026-07). Affects A recipe, Runnable code.
ARC-1 with Joule Studio: Bringing Real ABAP System Context into JouleARC-1 with Joule Studio: Bringing Real ABAP System Context into JouleBrings the same BTP-deployed ARC-1 endpoint into Joule through a Joule Studio, classic edition agent configured with Anthropic Claude Sonnet 4 and two MCP servers, ARC-1 and mcp-sap-docs, for work that starts in SAP where the previous part started in Microsoft 365. Two read-only showcases carry the ABAP Cloud readiness edge: a clean core check of one class that reports it is not released, uses USR02 and BUT000 directly and has no ATC findings, and a modernisation backlog for package ZSD_LEGACY which, as that package did not exist, grouped 28 ZSD* objects into risk buckets instead. The route through SAP Integration Suite API Management or a future MCP gateway is presented as a target architecture and not yet a productive setup, because Joule Studio's documentation requires streamable HTTP destinations and does not support MCP servers that need interactive OAuth user authorisation.published 2026-05-06
ARC-1 with Joule Studio: Bringing Real ABAP System Context into Joule
arc-1 has been through 2 major lines since this was published: 0.9 (2026-05), 1 (2026-07). Affects Runnable code.
Before You Upgrade S/4HANA: Static UI5 Checks with MCPBefore You Upgrade S/4HANA: Static UI5 Checks with MCPA UI5 version upgrade checked against one app by pairing two MCP servers: the ui5_version_diff tool added to mcp-sap-docs, which reads a bundle from ui5-lib-diff downloaded once at setup and filters it by version range, change type, library or query text, and @ui5/mcp-server, whose get_project_info, get_version_info, run_ui5_linter and run_manifest_validation say what the app uses and what fails. Run with a ui5-versions-upgrade.md skill on the legacy app from From SEGW and Legacy UI5 to RAP with ARC-1, from SAPUI5 1.84.59 to 1.147.2, the diff range held 985 deprecations and 961 What's New entries, and the linting and manifest validation narrowed that to findings in this app, among them jQuery.sap.require, synchronous bootstrap, the sap_belize theme, sap.m.MessagePage and an old manifest _version. The checks read the source in a local checkout and never the deployed app, so the report is a first pass: a changelog entry is not proof that a workaround can be deleted, and the app still has to be run and tested.published 2026-05-20
Building an Enterprise-Ready SAP AI Agent with Open SourceBuilding an Enterprise-Ready SAP AI Agent with Open SourceA self-hosted chat agent for SAP systems: LibreChat as UI and orchestrator with Entra ID sign-in and SharePoint connected, a local LLM through Ollama, and two MCP servers, mcp-sap-docs for public documentation and the ADT MCP server vibing-steampunk for the system itself. The ADT server runs in its read-only mode under a technical user with display authorisations only, so the agent can find a function module and pull its source, or locate a RAP business object with its behaviour definition and projection view, but cannot change anything. Two workflows show it, explaining what BAPI_DISPUTE_CREATE does in one system and planning a RAP action from a PDF specification, where the generated ABAP is copied into Eclipse by hand; the full setup is in the marianfoo/llm-client-sap-system-integration-sharepoint repository.published 2026-03-03
Don't Wait for SAP: Unlocking MCP Servers in BAS Right NowDon't Wait for SAP: Unlocking MCP Servers in BAS Right NowA workaround post with a grievance behind it: MCP servers were promoted heavily at SAP TechEd, most IDEs support them, and Business Application Studio limits you to Joule. This is how to run them there anyway. Worth reading as evidence of where the tooling gap sits rather than only for the recipe, which by nature has a shelf life.published 2025-11-27
From SEGW and Legacy UI5 to RAP with ARC-1From SEGW and Legacy UI5 to RAP with ARC-1Three ARC-1 skills, run in Cursor with Composer-2 against a deliberately rough demo on an S/4HANA 2023 trial system, turn the SEGW service ZDEMO_MIG_PROJECTS_SRV into a managed, draft-enabled RAP business object published as OData V4, replace its ApproveProject function import and its direct UPDATE ... COMMIT WORK with the action approve_project written in EML in local mode, and rebuild the freestyle UI5 JavaScript app once in UI5 TypeScript and once as a Fiori elements list report and object page driven by metadata extensions. What the published transcripts add is how the agent got there: it found the generated MPC class names and the custom logic in DPC_EXT only by reading the system, the skills made it print the extracted model and stop for confirmation before writing, and @ui5/mcp-server, mcp-sap-docs and @sap-ux/fiori-mcp-server each had their own job beside it. The demo is small on purpose, and the post says a productive SEGW service that calls BAPIs, carries custom authorisation logic or supports deep inserts is not solved with one prompt.published 2026-05-11
From SEGW and Legacy UI5 to RAP with ARC-1
@sap-ux/fiori-mcp-server has been through 2 major lines since this was published: 0.7 (2026-05), 1 (2026-05). Affects Runnable code.
Patterns for using LLMs in ABAP developmentPatterns for using LLMs in ABAP developmentLars Hvam compares eight ABAP development setups: assistance in SE80 or Eclipse, virtual files and MCP over ADT, a centrally managed MCP service, sandboxes, local Git, Git with read-only system context, and temporary ABAP systems for development and CI. The overview describes where source changes, review and system access happen, including abapGit synchronization and abaplint checks. It is dated March 2026; its risk, cost and autonomy ratings are the writer’s assessments.
Transform your configuration of SAP S/4HANA Cloud with agentic AITransform your configuration of SAP S/4HANA Cloud with agentic AIThe Configuration Assistant for SAP Cloud ERP, hands-on: an agent that validates insights from an organisation's data and maps toward a target business configuration, under the heading of agentic data management, with data preparation, transparency and governance as the stated aims. The atlas holds no entry for the Configuration Assistant and no concern for business configuration of an ERP, so the edge is to Agent access to your systems, the nearest concern, an agent working on a system's data and configuration; the abstract's configuration is not the per-environment application settings the atlas files under that word. The abstract is the same text as TM100 and states aims and no exercise detail. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Felix Peter, Joerg Rupprecht, Joerg Singler and Simone Mundt, written here from SAP's abstract; the recording is not yet published.
Agentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsAn agent harness coordinates code generation across isolated Git worktrees, using a skills registry, SAP CAP MCP Server, Fiori MCP Server and UI5 Web Components MCP Server for development context. The diagram shows LiteLLM as a model proxy in front of SAP AI Core, while automated checks and review gate the generated changes. The worked scenario is CAP-based extensions on BTP, with specifications written before generation and reusable skills governed across teams.
From Zero to Fiori: Building SAP Apps with AI Agents (And Why I Use Markdown Files Instead of MCP)From Zero to Fiori: Building SAP Apps with AI Agents (And Why I Use Markdown Files Instead of MCP)Eleven entities and four Fiori apps in forty-five minutes, orchestrated rather than typed — and the author is careful to say it is a base to develop from, not something ready to ship. The markdown-files-as-instructions method is the transferable part.michal_majer, published 2025-12-10
Teaching AI Agents Best Practices: A Skills Workspace for CAP DevelopmentTeaching AI Agents Best Practices: A Skills Workspace for CAP DevelopmentStates the gap this capability exists for more precisely than most: an agent already knows CAP well enough to generate models, handlers and deployments, but knowing a framework and following its current practice reliably are different things, because a model defaults to whatever it saw most of during training — which may be outdated, subtly wrong, or simply not how a given team works. Skills are offered as the closing mechanism, and the post describes a workspace pattern rather than a single file, with the architecture claimed to be framework-agnostic.daniel_schlachter, published 2026-06-09
Agent-led test management: Hands-on lab with Joule in SAP Cloud ALMAgent-led test management: Hands-on lab with Joule in SAP Cloud ALMThe Test Management Assistant, a Joule capability in SAP Cloud ALM, worked through on project scenarios: scoping requirements, detecting coverage gaps and generating test cases with AI. The edge is to SAP Joule, which the assistant runs on; SAP Cloud ALM has no entry here, and the atlas's testing concern, proving a service's model and handlers, is not this session's test management. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Christina Pickhardt, Daniel Lorenz, Niclas Weidner and Tobias Keller, written here from SAP's abstract; the recording is not yet published.
Agentic AI & AI AgentsAgentic AI & AI AgentsSAP's target picture for AI agents: Joule as the engagement layer — Joule Work, Joule Assistants, Joule Agents — with custom agents from customers, partners and SAP teams connecting through A2A for agent-to-agent collaboration and MCP for tool connectivity, on the SAP Business AI Platform. It says up front that parts are not generally available yet, in particular bidirectional communication with third-party agents through the Agent Gateway, so it reads as direction with the building blocks named rather than a design to copy today.published 2026-08-27
AI-accelerated RISE with SAP migration with the system transition workbenchAI-accelerated RISE with SAP migration with the system transition workbenchSAP Joule for Consultants and the RISE with SAP system transition workbench in a move to SAP S/4HANA Cloud Private Edition: readiness assessments, migration workflows and the SAP tools involved. The edge is to SAP Joule, of which Joule for Consultants is a part; the system transition workbench has no entry here, and Platform migration covers applications leaving older BTP platforms, not an ERP system's move. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Daniel Funkert, Kristin Aleksandrova, Mirja Kempin and Moritz Gysler, written here from SAP's abstract; the recording is not yet published.
AI-native North Star architecture — Platform LayerAI-native North Star architecture — Platform LayerThe platform layer of SAP's North Star architecture, the chapter that says where agents run and what a developer builds them with. It names an AI Golden Path built on the SAP Cloud Application Programming Model, the ABAP Cloud development model with RAP and the SAP Fiori design system, and a managed agent runtime on SAP BTP that is designed to provide software development kits for building agents in any framework, an agent sandbox, container-hosted execution, a skills registry and continuous evaluations, which is the ground agent tooling covers. Agents are extended without changing their code through four patterns, the first of them tool extensibility through the Model Context Protocol, the concern MCP servers is named for; the process-layer chapter adds that a pro-code path with a standardised agent SDK and a prompt-driven path through the Joule Studio solution produce the same code artifact on the same runtime. It describes a design SAP intends rather than products that exist, and the SDK and the registry it names have no entry here yet.published 2026-05-13
AI-native North Star architecture — Platform Layer
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A reference.
ARC-1 with Joule Studio: Bringing Real ABAP System Context into JouleARC-1 with Joule Studio: Bringing Real ABAP System Context into JouleBrings the same BTP-deployed ARC-1 endpoint into Joule through a Joule Studio, classic edition agent configured with Anthropic Claude Sonnet 4 and two MCP servers, ARC-1 and mcp-sap-docs, for work that starts in SAP where the previous part started in Microsoft 365. Two read-only showcases carry the ABAP Cloud readiness edge: a clean core check of one class that reports it is not released, uses USR02 and BUT000 directly and has no ATC findings, and a modernisation backlog for package ZSD_LEGACY which, as that package did not exist, grouped 28 ZSD* objects into risk buckets instead. The route through SAP Integration Suite API Management or a future MCP gateway is presented as a target architecture and not yet a productive setup, because Joule Studio's documentation requires streamable HTTP destinations and does not support MCP servers that need interactive OAuth user authorisation.published 2026-05-06
ARC-1 with Joule Studio: Bringing Real ABAP System Context into Joule
arc-1 has been through 2 major lines since this was published: 0.9 (2026-05), 1 (2026-07). Affects Runnable code.
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackBanking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackThe risk it is chasing is a graph problem stated in banking terms: a borrower who looks safe alone and is the linchpin of a group ten times the size. Multi-agent, mixed AI stack, on BTP and CAP.Shahid, published 2026-06-24
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI Stack
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A recipe, Runnable code.
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Building an LLM Agent in CAP Java with Spring AIBuilding an LLM Agent in CAP Java with Spring AIThe Java counterpart to the author's own Node.js post, and written as one: connecting to AI Core with the SAP AI SDK, then calling an agent and a tool through Spring AI. Opens with a section on libraries and workflows — which framework does what, and what is left to you — before any code.published 2026-06-08
Building an LLM Agent in CAP Java with Spring AI
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects Runnable code.
Building an LLM Agent using CAPBuilding an LLM Agent using CAPThe argument is that CAP is already most of what an agent framework wants — services, handlers, a typed model — so the agent is built inside it rather than beside it. AI Core through sap-ai-sdk, then Langchain for the agent and its tools. Long, with a TLDR at the top for people who want the shape without the walk.published 2026-05-27
Building an LLM Agent using CAP
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects Runnable code.
Building custom Joule Agents with SAP Knowledge GraphBuilding custom Joule Agents with SAP Knowledge GraphCustom Joule Agents built in a hands-on with SAP Knowledge Graph and Joule Studio: discovering APIs from a user's intent, grounding an agent's answers in business context, and integrating data products for SAP Business Data Cloud. The agents are SAP Joule's; the Knowledge Graph is not an atlas entry, and the abstract does not say which Joule Studio edition the exercises use. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Jan Portisch, Lucas Kiesow, Pavithra G K and Rafael Martin, written here from SAP's abstract; no recording is announced.
Building Durable AI Agents - Announcing the cds-langgraph-persistence PluginBuilding Durable AI Agents - Announcing the cds-langgraph-persistence PluginThe announcement, and the argument behind it. Treating an agent as a software architecture rather than a model with tools makes a list of production requirements — identity, authn and authz, multitenancy, persistence, event-driven flows, scalability, observability, CI/CD — and the author's point is that CAP already answers most of them for BTP, which is what makes LangGraph inside CAP Node.js worth doing. The post then narrows to one of those requirements, durability, and the checkpointer that supplies it. Written from a year of building agents next to real business systems rather than as a framework tour.merbinjanselm, published 2026-07-15
Building Durable AI Agents - Announcing the cds-langgraph-persistence Plugin
@mi8y/cds-langgraph-persistence has been through 3 major lines since this was published: 0.5 (2026-07), 0.6 (2026-07), 0.7 (2026-09). Affects Runnable code.
Building enterprise agent extensions with the Joule Studio solutionBuilding enterprise agent extensions with the Joule Studio solutionExtending SAP's standard agents with third-party integrations and business actions in Joule Studio: agents that run a process across systems, call an external service, put an approval step in the middle and bring the result back into the business context, which is what SAP Joule's agents do and what Joule Studio, classic edition is in the atlas. The abstract names Joule Studio without saying which edition the exercise uses, and lists outcomes rather than the steps built. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Charan Ravikumar, Jacob Hornberger, Maria Kondratyeva and Michael Zadikowitsch, written here from SAP's abstract; the recording is not yet published.
Experience core foundational capabilities of SAP Cloud ERPExperience core foundational capabilities of SAP Cloud ERPGuided exercises in SAP S/4HANA Cloud Public Edition, which SAP calls the execution backbone of the Autonomous Enterprise: validating AI capabilities against master data for industry and domain needs, generating AI-driven KPIs and reporting summaries. The product is an external here and the abstract names no AI feature by name; the edge is to SAP Joule, SAP's AI layer across its applications and the one entry the AI capabilities of SAP Cloud ERP attach to, which the abstract itself does not name. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Akshat Kharial, Ankush Thareja and Nises Soni, written here from SAP's abstract; the recording is not yet published.
Generate agentic workflows using SAP-managed n8n in Joule StudioGenerate agentic workflows using SAP-managed n8n in Joule StudioSAP-managed n8n inside Joule Studio generates a workflow from a business intent a developer states, and the workflow is then tested and deployed, consuming line-of-business application APIs, events and agents in SAP Business AI Platform: process automation with the workflow generated from intent, and agent tooling where the workflow calls agents. The generated workflow sends notifications to the Joule Work mobile app of SAP Joule, to Microsoft Teams or to Slack. SAP's abstract names the pieces and not how the generation or the n8n hosting works. A two-hour hands-on TechEd 2026 session (Tuesday 27 October, Berlin), presented by Rama Sulakshani Murari, Rumen Dimitrov, Seshadri Sreenivas Ramanarayanan and Venugopal Chembrakalathil, written here from SAP's abstract; the recording is not yet published.
Integrating and Extending JouleIntegrating and Extending JouleSAP's reference architecture for SAP Joule across SAP cloud applications: a request is checked against a Scenario Catalog of the applications' skills and a Knowledge Catalog answered by retrieval-augmented generation, combined with the user's roles and history, sent to an LLM available through the generative AI hub, and, where a Joule function is needed, turned into a call to the backend. Its identity page is the authentication path: each user sits in the Identity Directory of Cloud Identity Services with a Global User ID, Identity Provisioning synchronises role assignments into SAP Build Work Zone, whose navigation service decides which functions a user may call, and the Destination service exchanges the user's token to call a function in the user's name. Its extension page covers Joule Studio in SAP Build, where Joule skills automate rule-based tasks over APIs and AI agents plan and reason with models and document grounding from SAP AI Core, the ground agent tooling covers; a later Joule Studio page describes a managed Joule Studio Runtime on the SAP Business AI Platform, which has no entry here.published 2026-03-16
Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
SAP Joule for Consultants: Unified knowledge for requirements and designsSAP Joule for Consultants: Unified knowledge for requirements and designsFit-to-standard analysis as a consultant on a cloud transformation project: connecting an organisation's data to SAP Joule for Consultants through SAP AI Core, getting answers from SAP knowledge and that content, then building an expert, loading project files and running guided prompts. The edges are to SAP Joule, of which Joule for Consultants is a part, and to SAP AI Core, named as the connection path; how the data is grounded is left to the session. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Anantharaman Ravi, Natalie Han, Sachin Kaura and Yi Hsuan Lin, written here from SAP's abstract; the recording is not yet published.
Transform business data into AI-supported insightsTransform business data into AI-supported insightsBusiness metrics turned into insights, narratives and recommendations by SAP Joule's agents, with People Intelligence, the SAP Snowflake solution extension for SAP Business Data Cloud and SAP Analytics Cloud connected in SAP Business Data Cloud. The abstract names what is connected and what comes out, and does not say what the exercise builds or where the Snowflake extension sits in it; People Intelligence and the extension are not atlas entries. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Babacar Toure, Maximilian Paul Gander, Neetha Pucknat and San Tran, written here from SAP's abstract; the recording is not yet published.
Data MaskingData MaskingData masking replaces identifiable or confidential text in a prompt with placeholders such as <Person_0> or <Organization_1> before it reaches a large language model, using pattern matching and machine learning to find what to replace. The page states SAP AI Core supports it as a feature and sets out five steps for applying it, defining the masking scope, choosing a technique, preserving the prompt's intent, checking compliance and risk, then testing and monitoring the result. That is the shape data masking takes on the BTP door.
Hands on SAP Document AI: Next-generation intelligent document processingHands on SAP Document AI: Next-generation intelligent document processingSAP Document AI configured and run by hand: schema design, splitting and classifying documents, enriching the extracted data and custom prompting are the exercises SAP's abstract names. Document extraction from the configuring side, with the schema the participant's own; which document types or models the exercises use is not stated. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Christoph Lenschow, Tobias Weller and Tomasz Janasz, written here from SAP's abstract; no recording is announced.
Integrate CAP application as outbound channel for SAP Document AIIntegrate CAP application as outbound channel for SAP Document AIDocument AI will call you back when extraction finishes, and the callback is where this goes wrong: the CAP application has to accept an unauthenticated POST from outside without dropping CSRF protection for everything else. The answer is a middleware hooked into the CAP bootstrap, and the post spends its length on the token lifecycle rather than on the extraction.sdeissenboeck, published 2026-04-22
SAP Document AISAP Document AISAP's reference architecture for SAP Document AI, first as SAP composes the service on BTP for document extraction: OCR, pretrained models, customer-defined schemas and LLM calls through SAP AI Core and its Prompt Registry in one pipeline, with tenant-isolated persistence in SAP HANA Cloud, PostgreSQL and an object store. Its scenario pages then lay out a solution in three layers: intake through Outlook and SharePoint inbound channels, the workspace UI, the Joule Work mobile app or the upload API; classification and extraction with a confidence score per field, automatic confirmation above a threshold and review of the rest in the workspace; and posting through outbound channels, directly to a REST API, through an SAP Integration Suite flow, or through a CAP service that maps the fields and calls SAP S/4HANA over OData. Enrichment beyond the service's own master data lookup is left to a CAP application or an Integration Suite flow triggered from an outbound channel, and direct API posting leaves error handling, retries and monitoring to the application.published 2026-06-03
Use Free Tier to Create a Service Instance for SAP Document AIUse Free Tier to Create a Service Instance for SAP Document AIFour steps in the SAP BTP cockpit that end with a service key for SAP Document AI: open the cockpit, check the subaccount's entitlements and add the service on the free tier plan if it is not listed, create the instance, then create the key. It names the plans to use in production instead, blocks_of_100, embedded_edition and premium_edition, and stops at the credentials, before any document is uploaded.
Use Free Tier to Subscribe to SAP Document AI Basic UIUse Free Tier to Subscribe to SAP Document AI Basic UIEight steps from an entitled subaccount to the SAP Document AI basic UI open in a browser, and most of them are identity work rather than document work: getting a tenant for Cloud Identity Services, which the basic UI requires, activating the account and establishing trust with the subaccount, then subscribing, creating a user and assigning the Document_Information_Extraction_UI_Templates_Admin role collection. Using the UI to read a document is the subject of Use Machine Learning to Extract Information from Documents with the SAP Document AI Basic UI, which this tutorial names as what to read next.
UI5 Has Entered the Chat: Building Interactive MCP Apps for SAPUI5 Has Entered the Chat: Building Interactive MCP Apps for SAPMCP Apps let an MCP tool point at a ui:// resource that a compatible host renders in a sandboxed iframe, and the post walks through the five samples of UI5con_2026_MCPApps, built with Mike Zaschka for UI5con, from a plain HTML time tool through UI5 Web Components and UI Integration Cards to UI5 lint findings from @ui5/mcp-server and an ARC-1 transport review. In the samples the model selects the tool and does not generate the interface, the prebuilt kind of generative UI, and the subject is the server side of MCP servers: register the resource, link it from the tool's _meta.ui.resourceUri, return text content as a fallback beside structuredContent, call callServerTool() only for tools of the server that owns the app, and send a message to the host when another server such as ARC-1 has to act. It stops at the host, whose support differs by client and whose iframe sandbox is not a complete security model, and Joule support for MCP Apps could not be verified at the time of writing.published 2026-07-13
Agentic CAP: Build MCP servers and enterprise AI agentsAgentic CAP: Build MCP servers and enterprise AI agentsCAP applications become AI agents over the Model Context Protocol and the Agent2Agent protocol, which is the serve your application over MCP concern, and SAP AI Core is the LLM integration through which AI is embedded in a CAP app, with recommendations from the SAP-RPT-1 model as the abstract's example. The abstract names the two protocols and the one model and does not say which packages carry them. A two-hour TechEd 2026 session in a hands-on room (Tuesday 27 October, Berlin), presented by Daniel Hutzel, Daniel Schlachter, Marc Huber and Sami Lechner, written here from SAP's abstract; the recording is not yet published.
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackBanking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackThe risk it is chasing is a graph problem stated in banking terms: a borrower who looks safe alone and is the linchpin of a group ten times the size. Multi-agent, mixed AI stack, on BTP and CAP.Shahid, published 2026-06-24
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI Stack
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A recipe, Runnable code.
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Building an LLM Agent in CAP Java with Spring AIBuilding an LLM Agent in CAP Java with Spring AIThe Java counterpart to the author's own Node.js post, and written as one: connecting to AI Core with the SAP AI SDK, then calling an agent and a tool through Spring AI. Opens with a section on libraries and workflows — which framework does what, and what is left to you — before any code.published 2026-06-08
Building an LLM Agent in CAP Java with Spring AI
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects Runnable code.
Building an LLM Agent using CAPBuilding an LLM Agent using CAPThe argument is that CAP is already most of what an agent framework wants — services, handlers, a typed model — so the agent is built inside it rather than beside it. AI Core through sap-ai-sdk, then Langchain for the agent and its tools. Long, with a TLDR at the top for people who want the shape without the walk.published 2026-05-27
Building an LLM Agent using CAP
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects Runnable code.
cds-toon-ai-protocol-adapter: a pragmatic way to cut AI token costs using SAP CAPcds-toon-ai-protocol-adapter: a pragmatic way to cut AI token costs using SAP CAPNames a cost most CAP-plus-LLM writing ignores: every JSON payload streamed to a model is billed by its verbosity, in latency as well as money. The plugin brings TOON — Token-Oriented Object Notation — to a CAP service so the wire format changes without the service code doing so, in a REST variant and an OData one, with token counts reported on both sides.published 2026-01-25
Data MaskingData MaskingData masking replaces identifiable or confidential text in a prompt with placeholders such as <Person_0> or <Organization_1> before it reaches a large language model, using pattern matching and machine learning to find what to replace. The page states SAP AI Core supports it as a feature and sets out five steps for applying it, defining the masking scope, choosing a technique, preserving the prompt's intent, checking compliance and risk, then testing and monitoring the result. That is the shape data masking takes on the BTP door.
Document GroundingDocument GroundingDocument Grounding is a managed retrieval-augmented-generation service under the Generative AI Hub on BTP, which SAP's page on SAP AI Core places inside that service: it ingests documents from Amazon S3, SharePoint, SAP Document Management Service, SAP Work Zone or an SFTP server, and handles chunking, embedding and retrieval itself, refreshing content automatically when a source document changes. The page states this managed path is recommended for most enterprise scenarios because it covers the whole lifecycle end to end, and offers a separate Document Grounding Vector API for data that is already chunked and embedded, for cases that need finer control over chunking and metadata.
Enhancing Enterprise Applications: AI-powered User Experience with SAP CAP AI PluginEnhancing Enterprise Applications: AI-powered User Experience with SAP CAP AI PluginStarts from the blank form nobody wants to fill in, and asks what an enterprise application should do about it. The AI is in service of that rather than the subject of it.published 2026-04-29
How to Reduce Prompt Token Costs Using Toon = Save MoneyHow to Reduce Prompt Token Costs Using Toon = Save MoneyToken spend treated as a running cost rather than a detail, and TOON as the lever. Companion reading to the CAP adapter for the same format that is indexed here.Yogananda, published 2025-11-12
How to Reduce Prompt Token Costs Using Toon = Save Money
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A recipe, Runnable code.
Integrating a Custom AI Model into SAP CAP Using AI LaunchpadIntegrating a Custom AI Model into SAP CAP Using AI LaunchpadYour own model rather than a hosted one: deployed to AI Core, made callable through AI Launchpad, then reached from CAP. The case a lot of companies ask about and few posts cover.egeAksoyek, published 2026-03-20
Integrating a Custom AI Model into SAP CAP Using AI Launchpad
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects Runnable code.
Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Natural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesNatural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesThe division of labour is the argument, and it is in the subtitle: the model turns English into a CDS query and CDS runs it, so nothing generates SQL and nothing hallucinates a join. Schema annotations do the resolving. Long, with the package, the repository and the MCP registry entry all linked.Shahid, published 2026-06-25
Prompt TemplatingPrompt TemplatingPrompt templating replaces a static prompt with a structured, reusable template whose placeholders are filled in at runtime, which the page says helps LLM responses stay consistent and lets the same instructions be adapted across tasks. On SAP AI Core this is implemented through the Prompt Registry, and the page states that storing prompts as plain strings in code is possible but not recommended. That is prompt management as a stored and managed object rather than a string embedded in the caller.
SAP Joule for Consultants: Unified knowledge for requirements and designsSAP Joule for Consultants: Unified knowledge for requirements and designsFit-to-standard analysis as a consultant on a cloud transformation project: connecting an organisation's data to SAP Joule for Consultants through SAP AI Core, getting answers from SAP knowledge and that content, then building an expert, loading project files and running guided prompts. The edges are to SAP Joule, of which Joule for Consultants is a part, and to SAP AI Core, named as the connection path; how the data is grounded is left to the session. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Anantharaman Ravi, Natalie Han, Sachin Kaura and Yi Hsuan Lin, written here from SAP's abstract; the recording is not yet published.
SAP-RPT and TabPFN: Get started with tabular foundation modelsSAP-RPT and TabPFN: Get started with tabular foundation modelsTabular foundation models, SAP-RPT and TabPFN, in a hands-on with SAP and Prior Labs: the model families first, then predictions run through SAP AI Core with a workflow built on tabular orchestration and connected to the participant's own data for real-time predictions. A predictive models session with the models as the subject; the abstract does not name the SDK or API the workflow is built with. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Eliott Kalfon, Janick Zaehringer-Frasch, Johannes Hoehne, Katharina Schell, Nilay Mehta and Sherene Tan, written here from SAP's abstract; no recording is announced.
Streaming LLM Output with CAP and WebSocketsStreaming LLM Output with CAP and WebSocketsTokens arriving from the AI SDK's orchestration module, forwarded to the browser as they come rather than after the model finishes. Covers all four pieces — enabling WebSocket support in CAP, a service with actions and events, the streaming itself, and a frontend on the native WebSocket API — which is what makes it the clearest case for why a CAP service would want a socket at all.RobinP, published 2025-11-18
Streaming LLM Output with CAP and WebSockets
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A recipe, Runnable code.
UI5 AI Features library is now an npm PackageUI5 AI Features library is now an npm PackageThe release note for a demo turning into a dependency, and it is explicit about why that matters: the earlier version worked, but using it meant cloning the repo and copying both halves, which stops working the moment one of them changes. The post walks through what shipping the CAP plugin and the be.wl.ai control library in one npm version buys — a client and server contract that cannot drift — then lists the eleven controls by group, shows the two-line configuration that activates each half, and notes that this version is actually deployed on BTP behind both a standalone approuter and Work Zone. It closes on the demo repository, written with no library source in it as the test that the package stands alone.published 2026-08-31
UI5 AI Features library is now an npm Package
cds 8, line ended. Affects Runnable code.
Get hands on with tabular AI and forecasting models in SAP HANA CloudGet hands on with tabular AI and forecasting models in SAP HANA CloudPrediction and forecasting as predictive models inside SAP HANA Cloud, worked through hands-on: tabular AI models such as SAP-RPT-1 for on-the-fly predictions, time series foundation models for ad hoc forecasts, and the AutoML in the predictive analysis library. The abstract names the model kinds and the library and does not say how a model is called from SQL or from an application. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Markus Fath, Ritty Joseph and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
SAP-RPT and TabPFN: Get started with tabular foundation modelsSAP-RPT and TabPFN: Get started with tabular foundation modelsTabular foundation models, SAP-RPT and TabPFN, in a hands-on with SAP and Prior Labs: the model families first, then predictions run through SAP AI Core with a workflow built on tabular orchestration and connected to the participant's own data for real-time predictions. A predictive models session with the models as the subject; the abstract does not name the SDK or API the workflow is built with. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Eliott Kalfon, Janick Zaehringer-Frasch, Johannes Hoehne, Katharina Schell, Nilay Mehta and Sherene Tan, written here from SAP's abstract; no recording is announced.
Transforming Enterprise Data Strategy with SAP Business Data CloudTransforming Enterprise Data Strategy with SAP Business Data CloudSAP's layered picture of SAP Business Data Cloud, from lake storage and compute up to a knowledge core and agents, with eight sub-pages that each work one part through. The data products page is the cataloguing and lineage part: datasets described by Open Resource Discovery metadata, listed in the BDC catalog and shared over Delta Sharing to SAP Databricks and SAP HANA Cloud, with SAP Datasphere as a consumer on the intelligent content page; other pages install intelligent content, bring SAP BW data in through the Data Product Generator, provision groups by SCIM from Cloud Identity Services into SAP Databricks, which is identity provisioning, and train predictive models in SAP Databricks that SAP AI Core then serves for batch and real-time scoring. The main page states direction more than mechanism, and the BW page marks SQL Share for derived and OData for analytical data products as to be available.published 2026-05-12
Prompt TemplatingPrompt TemplatingPrompt templating replaces a static prompt with a structured, reusable template whose placeholders are filled in at runtime, which the page says helps LLM responses stay consistent and lets the same instructions be adapted across tasks. On SAP AI Core this is implemented through the Prompt Registry, and the page states that storing prompts as plain strings in code is possible but not recommended. That is prompt management as a stored and managed object rather than a string embedded in the caller.
Building a Generative AI-powered Inventory Assistant with SAP CAP, RAG, and Vector DatabaseBuilding a Generative AI-powered Inventory Assistant with SAP CAP, RAG, and Vector DatabaseAn existing CAP stock application turned into a question-answering one, and the part worth reading is the schema: three tables, not one — the products, an archive of the text that was embedded, and a separate lookup table holding the vectors. Retrieval finds candidate products by similarity and then reads the real rows, so the answer is grounded in records rather than in the embedded text.furkan5, published 2025-11-07
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Document GroundingDocument GroundingDocument Grounding is a managed retrieval-augmented-generation service under the Generative AI Hub on BTP, which SAP's page on SAP AI Core places inside that service: it ingests documents from Amazon S3, SharePoint, SAP Document Management Service, SAP Work Zone or an SFTP server, and handles chunking, embedding and retrieval itself, refreshing content automatically when a source document changes. The page states this managed path is recommended for most enterprise scenarios because it covers the whole lifecycle end to end, and offers a separate Document Grounding Vector API for data that is already chunked and embedded, for cases that need finer control over chunking and metadata.
Semantic search in CAP (Node.js): vector embeddings and cosine similaritySemantic search in CAP (Node.js): vector embeddings and cosine similarityFinding the best semantic match for a prompt inside an entity, using local vector embeddings and cosine similarity — and the finding the author leads with is that it works without a vector database at all. Reported as experiments rather than as a pattern, which is the honest register for it: the interesting claim is how little infrastructure the simple case needs.published 2025-12-09
A Clearer View of Your SAP Integrations Under the New API PolicyA Clearer View of Your SAP Integrations Under the New API PolicyThe SAP API Policy Evidence Skill assesses one SAP interface or usage pattern at a time against SAP API Policy v.4.2026a, reading evidence from five MCP servers, among them servers for the Business Accelerator Hub and SAP Notes, mcp-sap-docs and a read-only ARC-1, and returns one of four labels with a confidence level, an evidence table, residual risk and questions for SAP. It gives no compliant or not compliant answer on purpose, because SAP's FAQ (Q49) declines to publish a binding decision matrix, and it sends legal, commercial and roadmap questions to SAP and lowers its confidence when a source is not connected. Four sample runs show the method, among them ODP-RFC extraction labelled likely not aligned under SAP Note 3255746 and the same API_SALES_ORDER_SRV assessed differently for an autonomous agent behind a custom gateway and for a Boomi middleware flow; the SAP Notes and Business Accelerator Hub servers read SAP sites through a browser login, which the post says to use at your own risk.published 2026-06-02
Agentic AI & AI AgentsAgentic AI & AI AgentsSAP's target picture for AI agents: Joule as the engagement layer — Joule Work, Joule Assistants, Joule Agents — with custom agents from customers, partners and SAP teams connecting through A2A for agent-to-agent collaboration and MCP for tool connectivity, on the SAP Business AI Platform. It says up front that parts are not generally available yet, in particular bidirectional communication with third-party agents through the Agent Gateway, so it reads as direction with the building blocks named rather than a design to copy today.published 2026-08-27
Agentic AI Security & GovernanceAgentic AI Security & GovernanceNames seven threat categories agentic AI introduces beyond ordinary application security: prompt injection, excessive agency, supply-chain and model-integrity compromise, memory poisoning, improper output handling, resource abuse and agent-to-agent communication poisoning. Its answer is a defence-in-depth structure of security controls, input validation, privilege management, supply-chain checks, memory segmentation, output validation, execution quotas, secure communication, paired with governance and oversight: audit logging, explainability, human-in-the-loop review, fairness assessment and continuous monitoring. States the reason plainly: an agent decides, chains actions across turns, keeps memory between them and can act on real systems, a different risk profile from a single request-response call. That is the authorisation and audit-trail question tool governance is named for.
Agentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsAn agent harness coordinates code generation across isolated Git worktrees, using a skills registry, SAP CAP MCP Server, Fiori MCP Server and UI5 Web Components MCP Server for development context. The diagram shows LiteLLM as a model proxy in front of SAP AI Core, while automated checks and review gate the generated changes. The worked scenario is CAP-based extensions on BTP, with specifications written before generation and reusable skills governed across teams.
ARC-1 on SAP BTP: Secure ABAP Agentic Development Beyond the LaptopARC-1 on SAP BTP: Secure ABAP Agentic Development Beyond the LaptopThe BTP deployment of ARC-1: one Cloud Foundry app per SAP system, reached by MCP clients through XSUAA and reaching the backend through the SAP Destination service, the SAP Connectivity service and Cloud Connector, with a BasicAuth destination for startup probing and a Principal Propagation destination for per-user requests, and SAP_PP_STRICT=true so a propagation problem fails instead of falling back to the shared user. Tool governance is the three gates it spells out, the server ceiling set by environment variables, the user's permission from XSUAA role collections, OIDC scopes or API-key profiles, and the SAP backend authorisation, all of which must allow an action, and the staged rollout from read-only to writes in $TMP, then selected packages, then transport writes. It recommends the MTA deployment over Docker on Cloud Foundry or a buildpack push, treats BTP ABAP Environment as a separate service-key scenario with no Cloud Connector, and is not a full setup guide: the commands are left to the ARC-1 deployment docs.published 2026-04-29
ARC-1 on SAP BTP: Secure ABAP Agentic Development Beyond the Laptop
arc-1 has been through 3 major lines since this was published: 0.8 (2026-05), 0.9 (2026-05), 1 (2026-07). Affects A recipe.
Building an Enterprise-Ready SAP AI Agent with Open SourceBuilding an Enterprise-Ready SAP AI Agent with Open SourceA self-hosted chat agent for SAP systems: LibreChat as UI and orchestrator with Entra ID sign-in and SharePoint connected, a local LLM through Ollama, and two MCP servers, mcp-sap-docs for public documentation and the ADT MCP server vibing-steampunk for the system itself. The ADT server runs in its read-only mode under a technical user with display authorisations only, so the agent can find a function module and pull its source, or locate a RAP business object with its behaviour definition and projection view, but cannot change anything. Two workflows show it, explaining what BAPI_DISPUTE_CREATE does in one system and planning a RAP action from a PDF specification, where the generated ABAP is copied into Eclipse by hand; the full setup is in the marianfoo/llm-client-sap-system-integration-sharepoint repository.published 2026-03-03
HANA AI Toolkit — Local MCP ServerHANA AI Toolkit — Local MCP ServerAn MCP server that turns the hana-ml Python library into governed tools an agent can call against a HANA Cloud instance, shipped in the hana-ai toolkit and exposed over stdio, SSE and streamable HTTP. Its one firm rule is attributable execution: an audit module writes the MCP-side identity — agent, model, session, tool, redacted arguments — into the HANA connection before any SQL runs, and fails the call if that write fails. A worked example of governance on an MCP tool surface, from SAP's data side rather than CAP's.published 2026-06-15
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther
Agentic AI & AI AgentsAgentic AI & AI AgentsSAP's target picture for AI agents: Joule as the engagement layer — Joule Work, Joule Assistants, Joule Agents — with custom agents from customers, partners and SAP teams connecting through A2A for agent-to-agent collaboration and MCP for tool connectivity, on the SAP Business AI Platform. It says up front that parts are not generally available yet, in particular bidirectional communication with third-party agents through the Agent Gateway, so it reads as direction with the building blocks named rather than a design to copy today.published 2026-08-27
Integrating and Extending JouleIntegrating and Extending JouleSAP's reference architecture for SAP Joule across SAP cloud applications: a request is checked against a Scenario Catalog of the applications' skills and a Knowledge Catalog answered by retrieval-augmented generation, combined with the user's roles and history, sent to an LLM available through the generative AI hub, and, where a Joule function is needed, turned into a call to the backend. Its identity page is the authentication path: each user sits in the Identity Directory of Cloud Identity Services with a Global User ID, Identity Provisioning synchronises role assignments into SAP Build Work Zone, whose navigation service decides which functions a user may call, and the Destination service exchanges the user's token to call a function in the user's name. Its extension page covers Joule Studio in SAP Build, where Joule skills automate rule-based tasks over APIs and AI agents plan and reason with models and document grounding from SAP AI Core, the ground agent tooling covers; a later Joule Studio page describes a managed Joule Studio Runtime on the SAP Business AI Platform, which has no entry here.published 2026-03-16
Securing CAP Applications with SAP Cloud Identity Services and AMSSecuring CAP Applications with SAP Cloud Identity Services and AMSIdentity Authentication and AMS together as the current answer for a CAP application — authentication, single sign-on and the identity lifecycle on one side, policies on the other.gopalanand, published 2025-12-04
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther
Use Free Tier to Subscribe to SAP Document AI Basic UIUse Free Tier to Subscribe to SAP Document AI Basic UIEight steps from an entitled subaccount to the SAP Document AI basic UI open in a browser, and most of them are identity work rather than document work: getting a tenant for Cloud Identity Services, which the basic UI requires, activating the account and establishing trust with the subaccount, then subscribing, creating a user and assigning the Document_Information_Extraction_UI_Templates_Admin role collection. Using the UI to read a document is the subject of Use Machine Learning to Extract Information from Documents with the SAP Document AI Basic UI, which this tutorial names as what to read next.
Use mocking to embrace auth in your domain model from the outsetUse mocking to embrace auth in your domain model from the outsetMock users locally so authorization is modelled from the first commit instead of retrofitted — the argument being that auth added late reshapes a domain model rather than sitting on top of it.SAP
Dynamic authorisation with user attributes in SAP CAP and AMSDynamic authorisation with user attributes in SAP CAP and AMSThe same argument as the XSUAA-to-AMS piece, opened from a concrete failure: an acquisition puts 500 users on sales data restricted by division, and role-based access control answers it with Sales_Manager_EMEA, Sales_Manager_APAC and so on until the roles multiply past managing. Attribute-based authorisation replaces the set with one policy carrying a restriction, and the post walks through defining it in AMS against Cloud Identity Services. The clearest statement of role explosion among the three AMS pieces here.pedro_iranzo, published 2026-05-04
From XSUAA to AMS: Architecting S4HANA CAP Extensions with Policy-Based AuthorizationFrom XSUAA to AMS: Architecting S4HANA CAP Extensions with Policy-Based AuthorizationWhy scope-based authorization runs out, argued from enterprise extension work rather than from the documentation: XSUAA handles roles well, but real requirements are business-context restrictions — country, company code, organisational unit — and expressing those as scopes does not scale. The migration to policy-based authorization is presented as an architectural move for S/4HANA extensions rather than a configuration change.Avinash Vaidya, published 2026-05-27
How to Restrict CRUD Operations in SAP CAPM Using @Capabilities, @readonly and Test APIs with .httpHow to Restrict CRUD Operations in SAP CAPM Using @Capabilities, @readonly and Test APIs with .httpEntities are exposed with full CRUD by default, and this is how to take operations away again — @Capabilities for Insert, Update and Delete individually, @readonly for the blunt version. Tested with .http files rather than a UI, which keeps the check on the service.DeepaRagho, published 2026-05-22
SAP BTP XSUAA Security Configuration Comparison: Attribute-Based vs. Authority-Based ApproachesSAP BTP XSUAA Security Configuration Comparison: Attribute-Based vs. Authority-Based ApproachesTwo shapes of the same xs-security.json set against each other, with the resulting JWT printed for both. The consequence for application code is what makes it worth reading: under the attribute-based configuration a CAP handler reads req.user.attr.department, and under the authority-based one it does not, because the attribute is not there. Carries a migration guide between the two.rajeshkputumbaka, published 2026-02-18
Securing a CAP Node.js App with SAP AMS on BTP Cloud FoundrySecuring a CAP Node.js App with SAP AMS on BTP Cloud FoundryThe end-to-end version: a CAP Node.js project from cds init, role-based access through the Authorization Management Service and Identity Authentication Service, and an MTA deployment to Cloud Foundry. The prerequisite list is the useful part to read first — HANA Cloud, an IAS tenant and an AMS entitlement — because it says plainly what this path costs before you are three steps into it.Jacky Liu, published 2026-07-17
Securing CAP Applications with SAP Cloud Identity Services and AMSSecuring CAP Applications with SAP Cloud Identity Services and AMSIdentity Authentication and AMS together as the current answer for a CAP application — authentication, single sign-on and the identity lifecycle on one side, policies on the other.gopalanand, published 2025-12-04